Liquid D1 3B
Parameters
3B
Context Length
33K
Modality
Text
Architecture
Dense
KV Cache Rate
60 KB/tok
License
other
Release Date
5 Oct 2026
Knowledge Cutoff
-
API Pricing (per 1M)
Self-hosted only
Hardware Sizing
Precision
Context
Workload Memory: 4.37 GB
INT4 · 8K context
Base Weights: 1.40 GB
KV Cache: 0.47 GB
Runtime & Graphs: 2.50 GB
Minimum Required Hardware
1x NVIDIA L4 24GB
4.4 / 21.6 GB usable
1x RTX 3060 12GB
4.4 / 10.8 GB usable
Apple M4 24GB
4.4 / 18.0 GB usable
Determine requirements for your specific workload:
Open in VRAM Calculator
Architecture Diagram
Evaluation Benchmarks
No evaluation benchmarks for Liquid D1 3B available.
Rankings
Overall Rank
-
Coding Rank
-
About Liquid D1 3B
Liquid D1 3B is a compact foundation model from Liquid AI utilizing liquid neural network architectures for low-latency multimodal processing. It is engineered for on-device deployment across mobile and edge hardware.
Technical Specifications
Attention
Attention Structure
Grouped-Query Attention
Attention Heads
32
Key-Value Heads
8
Attention Head Dimension
64
Position Embedding
ROPE
RoPE Theta
1,000,000
Linear Attention
Yes
Linear Attention Ratio
73.3%
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
2,048
Number of Layers
30
FFN Intermediate Size (Dense)
10,752
Tokenizer
Vocabulary Size
128,000
Resources
About LFM2
The LFM2 model family developed by Liquid AI.